poster - Boulder County
Transcription
poster - Boulder County
Counter Accuracy vs. Distance from Counter 100.00% 90.00% 4 TB3 50.00% 40.00% 30.00% ART4 (WB-40) 20.00% 10.00% 0.00% 0 10 20 30 40 50 Vehicle Speed (mph) 60 70 80 This graph plots the wheelbase and speed of each vehicle in the motorcycle class from a typical 24-hour traffic count. Our equipment was counting some bicyclists, though the accuracy was unknown. 0.00% 1 2 3 4 5 6 7 8 BOCO Rules for T4: BOCO Rules for 2Bikes: 4 or more axles 2 axle groups 4 or more axles 2 axle groups d1 > 4 ft 4 axles 2 axle groups 2.9 ft < d1 < 4 ft 2.9 ft < d3 < 4 ft Bin Number Traffic counters use classification schemes to sort vehicles by type, or class. We determined groups of bicyclists were being misclassified by the ARX Cycle classification scheme the counters were using. ART6 non standard (! ! ( ( ! ! ( ! ( ! # NEVA RD * ( ! ( (! ! 7 Day Counts- 2 Counters #NIWOT RD ( * ! # * 1000 1000 1000 ! 24 Hour Counts- 2 Counters ( ! ± 27 ± 99 ± 90 Unpaved Road- No Bike Counts R ! ( ( ( ! ! ! ( ! (! ( ( (! ! ! ( ( ! ( ! DE ND R ( ! # * ( ! ! ( ( ! ! JAY RD ( ( ! ! ( ( ! ( ! ( ! ( ! ( ! ! ( ( ! ( ! T RD MON VAL ( !! ( ( ! ( ! ( ! VALMONT RD ! ( ! !( ( ( ! ( ! ( ! !! ( ( ( ! ( ! ! ( ( ! ( ! DR ( ! (! ! ( ! ( ( ! ! ( ( ! ( ! ( ! ( ! BASELINE RD LOOKOUT RD ( ! ( ! ! ( ( ! ! ( ( ( ! ! ( ! ( ! ( ! ( ! !! ( ( ( ! ( ! ( ! ( ! # * ( ! NIWOT RD !! ( ( ( ! ! ( ( ! # * LIN ( ! ( ! ( ! ( ! # * # * ! ( ( ! ! 24 Hour Counts- 1 Counter # (!( ! (! # * ON (1 Bicycle) (2 Bicycles) (3 Bicycles) (4 Bicycles) (Motorcycle) (Passenger Car) (Car with Trailer) (Rigid-body 2 Axle Truck) (Rigid-body 3 Axle Truck) (Rigid-body 4 Axle Truck) (3 Axle Articulated Truck) (4 Axle Articulated Truck) (5 Axle Articulated Truck) (6 Axle Articulated Truck) (B-Double) (Double/ Road Train) 1.056 1.827 1.657 NY CA 1: 1Bike 2: 2Bikes 3: 3Bikes 4: 4Bikes 5: MC 6: SV 7: SVT 8: TB2 9: TB3 10: T4 11: ART3 12: ART4 13: ART5 14: ART6 15: BD 16: DRT (Bicycle) (Motorcycle) (Passenger Car) (Car with Trailer)DRT non standard (Rigid-body 2 Axle Truck) (Rigid-body 3 Axle Truck) (Rigid-body 4 Axle Truck) (3 Axle Articulated Truck) (4 Axle Articulated Truck) (5 Axle Articulated Truck) (6 Axle Articulated Truck) (B-Double) non standard (Double/ Road BD Train) 947 547 604 R 1: Cycle 2: MC 3: SV 4: SVT 5: TB2 6: TB3 7: T4 8: ART3 9: ART4 10: ART5 11: ART6 12: BD 13: DRT 2.68% 9.85% 8.95% This table shows the accuracy and margins of error for counting bicyclists using a MetroCount counter and our three ingredients for success. ILE RM BOCO Vehicle Classes 94.68% 54.72% 60.35% U FO ARX Cycle Vehicle Classes 1000 1000 1000 ED For example, even though bicyclists’ axle hits were now being recorded, the ARX classification scheme was interpreting two bicyclists to be a T4 (four axle) truck. Multi-bike classes were necessary because once the counters determine that a group of bicyclists is one vehicle, the classification scheme cannot ART3 Non standard split the vehicle up. The new classes in the BOCO scheme allow all bicyclists to be counted. For example, a 2bike “vehicle” is actually two bicyclists. 4' 27' 33' HIN NS plugged into a single counter 10.00% ARX Cycle Rules for T4: 35 Distance 95% Number Correction Corrected Margin Number Counter to Confidence of bikes Factor Number of Error ART5 of Bikes Accuracy Counter Interval counted (WB-62) (1/accuracy) of Bikes (bikes) SU anchored with a metal bracket 20.00% d3 LEE HILL D two tubes set across the road 30.00% d2 d1 d1 N 45TH ST the starting point: 40.00% good accuracy when only one person is riding in lap s N 63RD ST 0 bad accuracy when when several people are riding in laps 30 This graph shows the accuracy and margins of error for the Eco-Counter, and the MetroCount counters, using both the ARX and BOCO classification schemes. T4 (non standard OLDE STAGE RD 3-4’ 0 Accuracy 4-6’ 25 up ro 1 20 'G 33 70.00% accuracy when d o o g 60.00% is only one person riding in laps 50.00% 15 Distance from counter (ft.) ART5 Eco (WB-50) BOCO 5' Loop ARX 5' Loop 80.00% 2 10 up ro Creating the 2Bikes Class 5 up ro Editing the T4 Class 90.00% 3 Our solution was to create a new classification scheme based on the ARX Cycle Scheme. We titled it “Boulder County” (BOCO). We edited the rules for the truck classes to exclude groups of bicyclists. Then we created new multi-bike classes to include groups of bicyclists. 60.00% 'G 27 100.00% 70.00% N 95TH ST Jay Rd: Number of Bicyclists Riding & Accuracy TB2 80.00% SVT N 79TH ST SV N 75TH ST bike 3. the new BOULDER COUNTY (BOCO) classification scheme Staff and volunteers rode in laps across the tubes to increase the amount of data collected, but whenever more than one person rode, we saw a large drop in accuracy. 27 ft The accuracy of the counters was dependent on the distance from the counter bicyclists rode over the tubes. We split the data into three distance groups: a 4 ft group, a 27 ft group, and a 33 ft group. motorcycle bike 4 ft G 4' Vehicle Wheelbase (ft) 5 33 ft ( ! ( ! ! ( ( ! ! (!( ! ( ( ! ! ( ( ! ( ( ( ! !! (! ( ! ( ! BASELINE RD N 76TH ST 6 motorcycle 4 ft N 73RD ST Speed vs. Wheelbase - Motorcycle Class We discovered through trial and error that routing the “bicycle” tubes through a vinyl sleeve and securing the sleeve with a metal bracket secured the tubes tightly without pinching them. Roads with Shoulders N 71ST ST the impetus: thinner “Bike” tube Roads without Shoulders N 63RD ST The purpose of our research study was to determine if bicyclists could be counted accurately using the county’s existing motor vehicle traffic counters, which would provide far better data about the county’s bicycle traffic. standard “Road” tube Thinner-walled “bicycle” tubes allow bicyclists to generate stronger air pulses, which have a greater likelihood of being registered as axle hits. Results & Implementation: Counter Accuracy Prior to 2013, Boulder County has conducted annual motor vehicle traffic counts at approximately 175 locations using automated pneumatic tube counters. The counters provide detailed data including traffic volumes, speeds and types, or classes, of vehicles on the county’s road network. By contrast, bicycle counts were limited to a handful of locations counted by volunteers for just two hours each. 2. an attachment method that does not pinch the tubes N 61ST ST 1. thinner-walled “bicycle” tubes Krista Nordback, Ph.D, PE Researcher Oregon Transportation Research and Education Consortium (OTREC) 503.725.2897 [email protected] CHERRYVALE RD the goal: We determined there are 3 necessary ingredients for counting both bicyclists and motor vehicles at the same time, with the same equipment: SPINE RD Research & Development: N 57TH ST Bicycle Counts with Pneumatic Tube Counters Brian Graham, AICP Bicycle Planner/ Employee Transportation Coordinator Boulder County Transportation Department 720.564.2667 [email protected] Alex Hyde-Wright Transportation Engineering Assistant Boulder County Transportation Department 303.441.4910 [email protected] ( ! (! !! ( ( ( ! In 2013, Boulder County is counting bicyclists and motor vehicles on all paved county roads! ( (! ! ( ! Download this poster, our presentation/talking points and paper here: http://goo.gl/UtDyB